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& Advantages. Explore & Engage Learn more about Baylor and our strategic vision, Baylor in Deeds . Also, explore our great hometown of Waco and the many opportunities to engage locally. If you are new
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has a fixed-term opportunity for a Postdoctoral Fellow / Senior Research Fellow to contribute to world-leading research in continual learning, computer vision, multimodal foundation models, and
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within the Physical Vision Group (PVG, https://physicalvision.github.io/ ). This will involve closely collaborating with faculty, postdoctoral researchers, and PhD students, bridging foundational
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Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - strong record of publications - Excellent communication skills and ability to work in a fast
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seeking two postdoctoral fellows in machine learning who will support the group’s projects in the rapidly growing field of multimodal representation learning and retrieval. The specific responsibilities
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
computer vision and/or audio(-visual) machine learning (e.g., multi-object tracking, speaker/source localisation, multimodal fusion). Experience with deep learning frameworks (PyTorch or equivalent) and
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, reinforcement learning, simulation, and counterfactual analysis. Multimodal NLP & Fusion, large language models (LLMs), cross-attention Fusion, vision-language transformers. Ontological engineering, knowledge
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of deep learning for computer vision (segmentation/object detection); ability to manage, clean and document large datasets; interest in glaciology, quantitative geomorphology and/or remote sensing
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or deep learning reconstructions). Knowledge of radial data acquisition strategies, artifact mitigation methods, and their use in parametric imaging (e.g., T1/T2/T2* mapping). Preferred Qualifications
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autonomy. Influences others regarding policies, practices and procedures. Essential Functions: 60% of Time the Research Scholar may: • Lead development of deep learning algorithms capable of identifying